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KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 7 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
ASPDAC
2008
ACM
104views Hardware» more  ASPDAC 2008»
15 years 9 months ago
Variability-driven module selection with joint design time optimization and post-silicon tuning
Abstract-- Increasing delay and power variation are significant challenges to the designers as technology scales to the deep sub-micron (DSM) regime. Traditional module selection t...
Feng Wang 0004, Xiaoxia Wu, Yuan Xie
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 7 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
JMLR
2006
108views more  JMLR 2006»
15 years 6 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
CODES
2008
IEEE
16 years 1 months ago
Static analysis of processor stall cycle aggregation
Processor Idle Cycle Aggregation (PICA) is a promising approach for low power execution of processors, in which small memory stalls are aggregated to create a large one, and the p...
Jongeun Lee, Aviral Shrivastava